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6 days ago
As a Senior Vision Systems Engineer, you will lead the design and implementation of advanced computer vision pipelines for object detection, instance segmentation, and industrial anomaly detection. You will oversee major modules from concept to deployment, ensuring seamless integration and high reliability.
Key Responsibilities:- Design and implement sophisticated CV systems using Python/PyTorch.
- Transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations using TensorRT, ONNX, and GStreamer.
- Collaborate with cross-functional teams to refine technical strategies and roadmaps.
- Drive long-term data and model strategies, including synthetic data generation and validation frameworks.
- Mentor engineers and maintain high engineering standards.
- 6-10 years of experience in architecting and deploying CV systems.
- Expertise in multi-object tracking, object detection, semi/unsupervised learning.
- Proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA.
- Experience with real-time, low-latency model deployment on edge devices.
- Strong systems-level design thinking across ML lifecycles.
- Familiarity with MLOps (CI/CD for models, versioning, experiment tracking).
- Bachelor's/Master's degree in CS, EE, or related fields with strong ML and algorithmic foundations.
- (Preferred) Experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, open-source contributions.
The successful candidate will have opportunities to advance their skills, collaborate with top talent, and drive innovation in the field of computer vision.
What We're Looking For:We're seeking a highly motivated individual who can contribute to our team's success and help shape the future of computer vision technology.
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